Can Phi 4 reasoning vision 15B run on Intel Data Center GPU Max 1550 128GB?

Yes, Intel Data Center GPU Max 1550 128GB can run Phi 4 reasoning vision 15B with a C grade (Runs well). Expected decode speed: 210.0 tok/s.

Phi 4 reasoning vision 15B (15B parameters) requires approximately 24.6 GB of memory with Q4_K_M quantization.

The recommended quantization for Phi 4 reasoning vision 15B is Q4_K_M, which balances quality and memory efficiency.

On Intel Data Center GPU Max 1550 128GB, Phi 4 reasoning vision 15B achieves approximately 210.0 tokens per second decode speed with a time-to-first-token of 922ms using Q4_K_M quantization.

For coding workloads, Phi 4 reasoning vision 15B on Intel Data Center GPU Max 1550 128GB receives a C grade with 210.0 tok/s and 957K context.

On Intel Data Center GPU Max 1550 128GB, Phi 4 reasoning vision 15B can safely use up to 957K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.

Prefer CUDA if you want the path of least resistance. If your goal is maximum runtime coverage, easier troubleshooting, and better support for new local AI releases, CUDA is usually still the safer upgrade path.

Often yes, if your goal is the easiest setup and the widest runtime support. Intel can offer attractive memory capacity, but CUDA still tends to win on tooling maturity, guides, kernels, and model coverage for local AI.